Due to the effects of the convolutional connections and STDP, rapid pulses of activity propagate through the network that do not occur without learning; this activity is similar to activity demonstrated in cortical-like networks in the brain ([1]}). Because the weights are capped, and due to inhibitory signals and the voltage decay, this means that these neurons must be activated by concurrent, synchronous firing at precise times in order to cause the postsynaptic neuron to fire. Unlike in [2]}, where uniformly low rates recruited depression, because the stimulus was driving the neurons, potentiation was dominant. The network exhibited local swells of activity in specific clusters, that would indicate a local synchrony, rather than a global synchrony ([3]}). Because of the lateral connections, these clusters were able to move horizontally across the same layer. The groups also seem to fire at higher rates, which would give evidence that they are in fact Hebbian groups.
